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Charles Perrin

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 60 2872 2745 112 111 195 18851

Charles Perrin publications per year

The chart shows the history of publications by Charles Perrin between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Charles Perrin published across 25 years, from 2001 to 2025, averaging 9.7 papers a year. Output peaked at 17 publications in 2015. 28 of the 243 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2015. 2001: 2 publications 2002: 3 publications 2003: 5 publications 2004: 5 publications 2005: 3 publications 2006: 14 publications 2007: 5 publications 2008: 4 publications 2009: 7 publications 2010: 9 publications 2011: 4 publications 2012: 14 publications 2013: 13 publications 2014: 14 publications 2015: 17 publications 2016: 14 publications 2017: 13 publications 2018: 12 publications 2019: 12 publications 2020: 8 publications 2021: 10 publications 2022: 10 publications 2023: 17 publications 2024: 16 publications 2025: 12 publications
2001 2025

243 publications in total across all disciplines

View publications per year as a table
Charles Perrin: publications per year, 2001 to 2025
Year Publications
2001 2
2002 3
2003 5
2004 5
2005 3
2006 14
2007 5
2008 4
2009 7
2010 9
2011 4
2012 14
2013 13
2014 14
2015 17
2016 14
2017 13
2018 12
2019 12
2020 8
2021 10
2022 10
2023 17
2024 16
2025 12
Total 243
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Charles Perrin publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Charles Perrin sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 191–200 publications, is where this scientist sits. 41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 195 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377 195
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
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Charles Perrin D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Charles Perrin sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 60 D-Index, is where this scientist sits. 30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 60 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166 60
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

Overview

Charles Perrin is affiliated with the University of Paris-Saclay in France, where their research primarily contributes to the field of Environmental Science. Their work encompasses a range of subfields including Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science, and Ecology.

Their scholarly output prominently features studies related to hydrology and watershed management, flood risk assessment and management, hydrology and drought analysis, as well as hydrological forecasting using artificial intelligence. Additional topics addressed in their research include cryospheric studies and observations, meteorological phenomena and simulations, and hydrology and sediment transport processes.

Frequent publication venues for their work include:

  • Hydrology and Earth System Sciences
  • Hydrological Sciences Journal
  • LHB
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Journal of Hydrology

Some of the recent papers published by Charles Perrin are:

  • "Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale" (2021), Water Resources Research
  • "airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling. Manual of the R package version 1.4.3.60" (2020), HAL (Le Centre pour la Communication Scientifique Directe)
  • "Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds" (2020), Journal of Hydrology
  • "Streamflow naturalization methods: a review" (2020), Hydrological Sciences Journal
  • "When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias" (2021), Hydrological Sciences Journal

Their research collaborations involve frequent co-authorship with researchers such as Vazken Andréassian, Guillaume Thirel, Olivier Delaigue, François Bourgin, and François Tilmant.

Best Publications

  • Improvement of a parsimonious model for streamflow simulation

    Charles Perrin;Claude Michel;Vazken Andréassian

  • Position paper: Characterising performance of environmental models

    Neil D. Bennett;Barry F. W. Croke;Giorgio Guariso;Joseph H. A. Guillaume

  • Which potential evapotranspiration input for a lumped rainfall-runoff model?. Part 2: Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling

    Ludovic Oudin;Frédéric Hervieu;Claude Michel;Charles Perrin

  • Twenty-three unsolved problems in hydrology (UPH)–a community perspective

    Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec

  • Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments

    C. Perrin;C. Michel;V. Andréassian

  • Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments

    Ludovic Oudin;Vazken Andréassian;Charles Perrin;Claude Michel

  • Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments

    L. Coron;Vazken Andréassian;C. Perrin;J. Lerat

  • A review of efficiency criteria suitable for evaluating low-flow simulations

    Raji Pushpalatha;Charles Perrin;Nicolas Le Moine;Vazken Andréassian

  • Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models

    Vazken Andréassian;Charles Perrin;Claude Michel;Iolanda Usart-Sanchez

  • Are seemingly physically similar catchments truly hydrologically similar

    Ludovic Oudin;Alison Kay;Vazken Andréassian;Charles Perrin

  • The suite of lumped GR hydrological models in an R package

    Laurent Coron;Guillaume Thirel;Olivier Delaigue;Charles Perrin

  • Large-sample hydrology: a need to balance depth with breadth

    H. V. Gupta;C. Perrin;G. Blöschl;A. Montanari

  • Stepwise development of a two-parameter monthly water balance model

    Safouane Mouelhi;Claude Michel;Charles Perrin;Vazken Andréassian

  • Soil Conservation Service Curve Number method: How to mend a wrong soil moisture accounting procedure?

    Claude Michel;Vazken Andréassian;Charles Perrin

  • Dynamic averaging of rainfall‐runoff model simulations from complementary model parameterizations

    Ludovic Oudin;Vazken Andréassian;Thibault Mathevet;Charles Perrin

  • ‘As simple as possible but not simpler’: What is useful in a temperature-based snow-accounting routine? Part 2 – Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments

    Audrey Valéry;Vazken Andréassian;Charles Perrin

  • Hydrological model parameter instability: A source of additional uncertainty in estimating the hydrological impacts of climate change?

    Pierre Brigode;Ludovic Oudin;Charles Perrin

  • Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models

    Ludovic Oudin;Charles Perrin;Thibault Mathevet;Vazken Andréassian

  • When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events

    F. Lobligeois;Vazken Andréassian;C. Perrin;P. Tabary

  • A downward structural sensitivity analysis of hydrological models to improve low-flow simulation

    Raji Pushpalatha;Charles Perrin;Nicolas Le Moine;Thibault Mathevet

  • Impact of limited streamflow data on the efficiency and the parameters of rainfall—runoff models

    Charles Perrin;Ludovic Oudin;Vazken Andreassian;Claudia Rojas-Serna

Frequent Co-Authors

Vazken Andréassian
Vazken Andréassian University of Paris-Saclay
Ludovic Oudin
Ludovic Oudin Sorbonne University
François Anctil
François Anctil Université Laval
Jai Vaze
Jai Vaze Commonwealth Scientific and Industrial Research Organisation
Hoshin V. Gupta
Hoshin V. Gupta University of Arizona
Alberto Montanari
Alberto Montanari University of Bologna
Thorsten Wagener
Thorsten Wagener University of Potsdam
Günter Blöschl
Günter Blöschl TU Wien
Roger Moussa
Roger Moussa INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Qingyun Duan
Qingyun Duan Hohai University

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